Pancreatic adenocarcinoma (PAAD) remains highly lethal with limited treatment options. This study demonstrates that coixenolide, a bioactive compound from Coix lacryma‐jobi L. and a key component of the clinically approved Kanglaite injection, exhibits enhanced antitumor efficacy in high‐fat diet (HFD)‐induced obese mice bearing PAAD tumors compared to
Kaidi Chen +20 more
wiley +1 more source
PLDD: a field-collected pineapple leaf disease dataset for deep learning-based plant health analysis. [PDF]
Raj S, Prakash N, Malik N.
europepmc +1 more source
This study uncovers hierarchical coordination between K11 lactylation and S199 phosphorylation of CKB in cerebral ischemia‐reperfusion injury. Such dual modifications potentiate CKB enzymatic function, remodel energy metabolism, alleviate oxidative stress and neuronal damage, and represent a viable therapeutic target for stroke treatment.
Chao Duan +17 more
wiley +1 more source
AgriOptNet: A hybrid optimization and lightweight deep learning framework for soil texture classification and crop recommendation based on nutrition. [PDF]
N LR, M P G.
europepmc +1 more source
Top-down and bottom-up attention for joint pattern classification and reconstruction. [PDF]
Veiga RA, Zanutto BS.
europepmc +1 more source
African Crop Calendar: A geo-referenced dataset of crop growing seasons across diverse agro-ecological regions. [PDF]
Waha K +5 more
europepmc +1 more source
Multimodal Deep Learning and Foundation Models for Early Detection and Forecasting of Plant Diseases. [PDF]
Manda T +5 more
europepmc +1 more source
A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science. [PDF]
Sakib SN, Haque N, Hossain MZ, Arman SE.
europepmc +1 more source
Herbicide Resistance Genes in Crops: Mechanisms, Progress, and Future Perspectives. [PDF]
Guo Y +10 more
europepmc +1 more source
Related searches:
AgriSen - A Dataset for Crop Classification
2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2020The large amount of collected data in the field of Earth Observation has created the need for automatization in processing and extraction information from it. Thus, deep learning (DL) techniques have gained popularity among the remote sensing community. Agriculture is one of the domains where DL can improve the current state-of-the-art.
Teodora Selea, Marius-Florin Pslaru
openaire +1 more source

